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                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generative Diffusions in Augmented Spaces: A Complete Recipe  </div>
                                <div> Kushagra Pandey, Stephan Mandt </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2303.01748"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-03-03</div>
                            </div>
                            <div class="paper-date">2023-03-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Consistency Models  </div>
                                <div> Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2303.01469"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-03-02</div>
                            </div>
                            <div class="paper-date">2023-03-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Probabilistic Fields  </div>
                                <div> Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista </div>
                                <div>
                                        ICLR 2023.

                                        <a href="https://arxiv.org/abs/2303.00165"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-03-01</div>
                            </div>
                            <div class="paper-date">2023-03-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Unsupervised Discovery of Semantic Latent Directions in Diffusion Models  </div>
                                <div> Yong-Hyun Park<sup>1</sup>, Mingi Kwon<sup>1</sup>, Junghyo Jo, Youngjung Uh </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.12469"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-24</div>
                            </div>
                            <div class="paper-date">2023-02-24</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC  </div>
                                <div> Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.11552"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://energy-based-model.github.io/reduce-reuse-recycle/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-22</div>
                            </div>
                            <div class="paper-date">2023-02-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels  </div>
                                <div> Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.10586"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-21</div>
                            </div>
                            <div class="paper-date">2023-02-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> On Calibrating Diffusion Probabilistic Models  </div>
                                <div> Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.10688"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/thudzj/Calibrated-DPMs"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-21</div>
                            </div>
                            <div class="paper-date">2023-02-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Learning 3D Photography Videos via Self-supervised Diffusion on Single Images  </div>
                                <div> Xiaodong Wang<sup>1</sup>, Chenfei Wu<sup>1</sup>, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.10781"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-21</div>
                            </div>
                            <div class="paper-date">2023-02-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Cross-domain Compositing with Pretrained Diffusion Models  </div>
                                <div> Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.10167"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/cross-domain-compositing/cross-domain-compositing"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-20</div>
                            </div>
                            <div class="paper-date">2023-02-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent  </div>
                                <div> Giannis Daras<sup>1</sup>, Yuval Dagan<sup>1</sup>, Alexandros G. Dimakis, Constantinos Daskalakis </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.09057"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/giannisdaras/cdm"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-17</div>
                            </div>
                            <div class="paper-date">2023-02-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation  </div>
                                <div> Jiaxin Cheng<sup>1</sup>, Xiao Liang<sup>1</sup>, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.08908"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-16</div>
                            </div>
                            <div class="paper-date">2023-02-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Video Probabilistic Diffusion Models in Projected Latent Space  </div>
                                <div> Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.07685"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://sihyun.me/PVDM/"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-15</div>
                            </div>
                            <div class="paper-date">2023-02-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions  </div>
                                <div> Raghav Singhal<sup>1</sup>, Mark Goldstein<sup>1</sup>, Rajesh Ranganath </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.07261"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-14</div>
                            </div>
                            <div class="paper-date">2023-02-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model  </div>
                                <div> Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.06908"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-14</div>
                            </div>
                            <div class="paper-date">2023-02-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Preconditioned Score-based Generative Models  </div>
                                <div> Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.06504"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/fudan-zvg/PDS"
                                           class="link-primary">ithub</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-13</div>
                            </div>
                            <div class="paper-date">2023-02-13</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Star-Shaped Denoising Diffusion Probabilistic Models  </div>
                                <div> Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.05259"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-10</div>
                            </div>
                            <div class="paper-date">2023-02-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Geometry of Score Based Generative Models  </div>
                                <div> Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.04411"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-09</div>
                            </div>
                            <div class="paper-date">2023-02-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models  </div>
                                <div> Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.04867"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://unipc.ivg-research.xyz"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/wl-zhao/UniPC"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-09</div>
                            </div>
                            <div class="paper-date">2023-02-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> PFGM++: Unlocking the Potential of Physics-Inspired Generative Models  </div>
                                <div> Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.04265"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Newbeeer/pfgmpp"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-08</div>
                            </div>
                            <div class="paper-date">2023-02-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Q-Diffusion: Quantizing Diffusion Models  </div>
                                <div> Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.04304"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-08</div>
                            </div>
                            <div class="paper-date">2023-02-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Long Horizon Temperature Scaling  </div>
                                <div> Andy Shih, Dorsa Sadigh, Stefano Ermon </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.03686"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-07</div>
                            </div>
                            <div class="paper-date">2023-02-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Spatial Functa: Scaling Functa to ImageNet Classification and Generation  </div>
                                <div> Matthias Bauer<sup>1</sup>, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim<sup>1</sup> </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.03130"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-06</div>
                            </div>
                            <div class="paper-date">2023-02-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Divide and Compose with Score Based Generative Models  </div>
                                <div> Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2302.02272"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/sandeshgh/Score-based-disentanglement"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-05</div>
                            </div>
                            <div class="paper-date">2023-02-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories  </div>
                                <div> Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian </div>
                                <div>
                                        AAAI 2023.

                                        <a href="https://arxiv.org/abs/2302.02373"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-05</div>
                            </div>
                            <div class="paper-date">2023-02-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Stable Target Field for Reduced Variance Score Estimation in Diffusion Models  </div>
                                <div> Yilun Xu<sup>1</sup>, Shangyuan Tong<sup>1</sup>, Tommi Jaakkola </div>
                                <div>
                                        ICLR 2023.

                                        <a href="https://arxiv.org/abs/2302.00670"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Newbeeer/stf"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-02-01</div>
                            </div>
                            <div class="paper-date">2023-02-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Learning Data Representations with Joint Diffusion Models  </div>
                                <div> Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.13622"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-31</div>
                            </div>
                            <div class="paper-date">2023-01-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Optimizing DDPM Sampling with Shortcut Fine-Tuning  </div>
                                <div> Ying Fan, Kangwook Lee </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.13362"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-31</div>
                            </div>
                            <div class="paper-date">2023-01-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models  </div>
                                <div> Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.13721"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-31</div>
                            </div>
                            <div class="paper-date">2023-01-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models  </div>
                                <div> Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.12935"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-30</div>
                            </div>
                            <div class="paper-date">2023-01-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Don't Play Favorites: Minority Guidance for Diffusion Models  </div>
                                <div> Soobin Um, Jong Chul Ye </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.12334"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/sangyun884/fast-ode"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-29</div>
                            </div>
                            <div class="paper-date">2023-01-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Minimizing Trajectory Curvature of ODE-based Generative Models  </div>
                                <div> Sangyun Lee, Beomsu Kim, Jong Chul Ye </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.12003"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-27</div>
                            </div>
                            <div class="paper-date">2023-01-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Input Perturbation Reduces Exposure Bias in Diffusion Models  </div>
                                <div> Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.11706"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/forever208/DDPM-IP"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-27</div>
                            </div>
                            <div class="paper-date">2023-01-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Guided Diffusion Sampling with Splitting Numerical Methods  </div>
                                <div> Suttisak Wizadwongsa, Supasorn Suwajanakorn </div>
                                <div>
                                        ICLR 2023.

                                        <a href="https://arxiv.org/abs/2301.11558"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-27</div>
                            </div>
                            <div class="paper-date">2023-01-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> simple diffusion: End-to-end diffusion for high resolution images  </div>
                                <div> Emiel Hoogeboom<sup>1</sup>, Jonathan Heek<sup>1</sup>, Tim Salimans </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.11093"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-26</div>
                            </div>
                            <div class="paper-date">2023-01-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Fast Inference in Denoising Diffusion Models via MMD Finetuning  </div>
                                <div> Emanuele Aiello, Diego Valsesia, Enrico Magli </div>
                                <div>
                                        arXiv 2023.

                                        <a href="https://arxiv.org/abs/2301.07969"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/diegovalsesia/MMD-DDM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2023-01-19</div>
                            </div>
                            <div class="paper-date">2023-01-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Exploring Transformer Backbones for Image Diffusion Models  </div>
                                <div> Princy Chahal </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.14678"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-27</div>
                            </div>
                            <div class="paper-date">2022-12-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models  </div>
                                <div> Zijian Zhang, Zhou Zhao, Zhijie Lin </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.12990"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-26</div>
                            </div>
                            <div class="paper-date">2022-12-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Scalable Adaptive Computation for Iterative Generation  </div>
                                <div> Allan Jabri, David Fleet, Ting Chen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.11972"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-22</div>
                            </div>
                            <div class="paper-date">2022-12-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation  </div>
                                <div> Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.10777"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-21</div>
                            </div>
                            <div class="paper-date">2022-12-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Scalable Diffusion Models with Transformers  </div>
                                <div> William Peebles, Saining Xie </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.09748"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://www.wpeebles.com/DiT"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/facebookresearch/DiT"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-19</div>
                            </div>
                            <div class="paper-date">2022-12-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation  </div>
                                <div> Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.09478"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/researchmm/MM-Diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-19</div>
                            </div>
                            <div class="paper-date">2022-12-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models  </div>
                                <div> Gyeongnyeon Kim<sup>1</sup>, Wooseok Jang<sup>1</sup>, Gyuseong Lee<sup>1</sup>, Susung Hong, Junyoung Seo, Seungryong Kim </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.08861"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://ku-cvlab.github.io/DAG/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-17</div>
                            </div>
                            <div class="paper-date">2022-12-17</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli  </div>
                                <div> Matteo Ferrante, Tommaso Boccato, Nicola Toschi </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.06726"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-13</div>
                            </div>
                            <div class="paper-date">2022-12-13</div>
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                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Towards Practical Plug-and-Play Diffusion Models  </div>
                                <div> Hyojun Go<sup>1</sup>, Yunsung Lee<sup>1</sup>, Jin-Young Kim<sup>1</sup>, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.05973"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-12</div>
                            </div>
                            <div class="paper-date">2022-12-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MAGVIT: Masked Generative Video Transformer  </div>
                                <div> Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.05199"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://magvit.cs.cmu.edu/"
                                           class="link-primary">roject</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-10</div>
                            </div>
                            <div class="paper-date">2022-12-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding  </div>
                                <div> Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.02802"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-06</div>
                            </div>
                            <div class="paper-date">2022-12-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models  </div>
                                <div> Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.02024"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-05</div>
                            </div>
                            <div class="paper-date">2022-12-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Why Are Conditional Generative Models Better Than Unconditional Ones?  </div>
                                <div> Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.00362"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-01</div>
                            </div>
                            <div class="paper-date">2022-12-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> VIDM: Video Implicit Diffusion Models  </div>
                                <div> Kangfu Mei, Vishal M. Patel </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2212.00235"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://kfmei.page/vidm/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/MKFMIKU/VIDM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-12-01</div>
                            </div>
                            <div class="paper-date">2022-12-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-based Continuous-time Discrete Diffusion Models  </div>
                                <div> Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.16750"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-30</div>
                            </div>
                            <div class="paper-date">2022-11-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> High-Fidelity Guided Image Synthesis with Latent Diffusion Models  </div>
                                <div> Jaskirat Singh, Stephen Gould, Liang Zheng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.17084"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://1jsingh.github.io/gradop"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-30</div>
                            </div>
                            <div class="paper-date">2022-11-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Dimensionality-Varying Diffusion Process  </div>
                                <div> Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.16032"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-29</div>
                            </div>
                            <div class="paper-date">2022-11-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Wavelet Diffusion Models are fast and scalable Image Generators  </div>
                                <div> Hao Phung, Quan Dao, Anh Tran </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.16152"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-29</div>
                            </div>
                            <div class="paper-date">2022-11-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models  </div>
                                <div> Dongjun Kim<sup>1</sup>, Yeongmin Kim<sup>1</sup>, Wanmo Kang, Il-Chul Moon </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.17091"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-28</div>
                            </div>
                            <div class="paper-date">2022-11-28</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Probabilistic Model Made Slim  </div>
                                <div> Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.17106"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-27</div>
                            </div>
                            <div class="paper-date">2022-11-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Fast Sampling of Diffusion Models via Operator Learning  </div>
                                <div> Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.13449"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-24</div>
                            </div>
                            <div class="paper-date">2022-11-24</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Paint by Example: Exemplar-based Image Editing with Diffusion Models  </div>
                                <div> Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.13227"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-23</div>
                            </div>
                            <div class="paper-date">2022-11-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths  </div>
                                <div> Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.13221"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-23</div>
                            </div>
                            <div class="paper-date">2022-11-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Diffusion Sampling with Classifier-based Feature Distillation  </div>
                                <div> Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.12039"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-22</div>
                            </div>
                            <div class="paper-date">2022-11-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SinDiffusion: Learning a Diffusion Model from a Single Natural Image  </div>
                                <div> Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.12445"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/WeilunWang/SinDiffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-22</div>
                            </div>
                            <div class="paper-date">2022-11-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SinFusion: Training Diffusion Models on a Single Image or Video  </div>
                                <div> Yaniv Nikankin, Niv Haim, Michal Irani </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.11743"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-21</div>
                            </div>
                            <div class="paper-date">2022-11-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training  </div>
                                <div> Ling Yang<sup>1</sup>, Zhilin Huang<sup>1</sup>, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.11138"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-21</div>
                            </div>
                            <div class="paper-date">2022-11-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SceneComposer: Any-Level Semantic Image Synthesis  </div>
                                <div> Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.11742"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://zengyu.me/scenec/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-21</div>
                            </div>
                            <div class="paper-date">2022-11-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MagicVideo: Efficient Video Generation With Latent Diffusion Models  </div>
                                <div> Daquan Zhou<sup>1</sup>, Weimin Wang<sup>1</sup>, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.11018"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://magicvideo.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-20</div>
                            </div>
                            <div class="paper-date">2022-11-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding  </div>
                                <div> Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.06956"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://mind-vis.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/zjc062/mind-vis"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-13</div>
                            </div>
                            <div class="paper-date">2022-11-13</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> From Denoising Diffusions to Denoising Markov Models  </div>
                                <div> Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.03595"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/yuyang-shi/generalized-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-07</div>
                            </div>
                            <div class="paper-date">2022-11-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Few-shot Image Generation with Diffusion Models  </div>
                                <div> Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.03264"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-07</div>
                            </div>
                            <div class="paper-date">2022-11-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models  </div>
                                <div> Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2211.02048"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/lmxyy/sige"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-04</div>
                            </div>
                            <div class="paper-date">2022-11-04</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models  </div>
                                <div> Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu </div>
                                <div>
                                        NeurIPS 2022 (Oral).

                                        <a href="https://arxiv.org/abs/2211.01095"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/LuChengTHU/dpm-solver"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-02</div>
                            </div>
                            <div class="paper-date">2022-11-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Entropic Neural Optimal Transport via Diffusion Processes  </div>
                                <div> Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2211.01156"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-02</div>
                            </div>
                            <div class="paper-date">2022-11-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> An optimal control perspective on diffusion-based generative modeling  </div>
                                <div> Julius Berner, Lorenz Richter, Karen Ullrich </div>
                                <div>
                                        NeurIPS Workshop 2022.

                                        <a href="https://arxiv.org/abs/2211.01364"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-11-02</div>
                            </div>
                            <div class="paper-date">2022-11-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Deep Equilibrium Approaches to Diffusion Models  </div>
                                <div> Ashwini Pokle, Zhengyang Geng, Zico Kolter </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2210.12867"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/locuslab/deq-ddim"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-23</div>
                            </div>
                            <div class="paper-date">2022-10-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models  </div>
                                <div> Vikram Voleti, Christopher Pal, Adam Oberman </div>
                                <div>
                                        NeurIPS Workshop 2022.

                                        <a href="https://arxiv.org/abs/2210.12254"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-21</div>
                            </div>
                            <div class="paper-date">2022-10-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Representation Learning with Diffusion Models  </div>
                                <div> Jeremias Traub </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.11058"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/jeremiastraub/diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-20</div>
                            </div>
                            <div class="paper-date">2022-10-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Self-Guided Diffusion Models  </div>
                                <div> Vincent Tao Hu<sup>1</sup>, David W Zhang<sup>1</sup>, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.06462"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-12</div>
                            </div>
                            <div class="paper-date">2022-10-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> GENIE: Higher-Order Denoising Diffusion Solvers  </div>
                                <div> Tim Dockhorn, Arash Vahdat, Karsten Kreis </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2210.05475"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://nv-tlabs.github.io/GENIE"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/nv-tlabs/GENIE"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-11</div>
                            </div>
                            <div class="paper-date">2022-10-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation  </div>
                                <div> Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.04955"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="http://jiataogu.me/fdm/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-10</div>
                            </div>
                            <div class="paper-date">2022-10-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> On Distillation of Guided Diffusion Models  </div>
                                <div> Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.03142"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-06</div>
                            </div>
                            <div class="paper-date">2022-10-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improving Sample Quality of Diffusion Model Using Self-Attention Guidance  </div>
                                <div> Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.00939"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://ku-cvlab.github.io/Self-Attention-Guidance/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-03</div>
                            </div>
                            <div class="paper-date">2022-10-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2  </div>
                                <div> Ali Borji </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.00586"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/aliborji/GFW"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-02</div>
                            </div>
                            <div class="paper-date">2022-10-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> OCD: Learning to Overfit with Conditional Diffusion Models  </div>
                                <div> Shahar Shlomo Lutati, Lior Wolf </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2210.00471"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/ShaharLutatiPersonal/OCD"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-10-02</div>
                            </div>
                            <div class="paper-date">2022-10-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Denoising MCMC for Accelerating Diffusion-Based Generative Models  </div>
                                <div> Beomsu Kim, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.14593"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/1202kbs/DMCMC"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-29</div>
                            </div>
                            <div class="paper-date">2022-09-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> All are Worth Words: a ViT Backbone for Score-based Diffusion Models  </div>
                                <div> Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.12152"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-25</div>
                            </div>
                            <div class="paper-date">2022-09-25</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Neural Wavelet-domain Diffusion for 3D Shape Generation  </div>
                                <div> Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.08725"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-19</div>
                            </div>
                            <div class="paper-date">2022-09-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Can segmentation models be trained with fully synthetically generated data?  </div>
                                <div> Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.08256"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-17</div>
                            </div>
                            <div class="paper-date">2022-09-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Soft Diffusion: Score Matching for General Corruptions  </div>
                                <div> Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.05442"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-12</div>
                            </div>
                            <div class="paper-date">2022-09-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Blurring Diffusion Models  </div>
                                <div> Emiel Hoogeboom, Tim Salimans </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.05557"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-12</div>
                            </div>
                            <div class="paper-date">2022-09-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improved Masked Image Generation with Token-Critic  </div>
                                <div> José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2209.04439"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-09-09</div>
                            </div>
                            <div class="paper-date">2022-09-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Let us Build Bridges: Understanding and Extending Diffusion Generative Models  </div>
                                <div> Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.14699"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-31</div>
                            </div>
                            <div class="paper-date">2022-08-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis  </div>
                                <div> Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.13753"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-29</div>
                            </div>
                            <div class="paper-date">2022-08-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model  </div>
                                <div> Shin-I Cheng<sup>1</sup>, Yu-Jie Chen<sup>1</sup>, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.12675"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://cyj407.github.io/DiSS/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-26</div>
                            </div>
                            <div class="paper-date">2022-08-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise  </div>
                                <div> Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.09392"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/arpitbansal297/Cold-Diffusion-Models"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-19</div>
                            </div>
                            <div class="paper-date">2022-08-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance  </div>
                                <div> Bahjat Kawar, Roy Ganz, Michael Elad </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.08664"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-18</div>
                            </div>
                            <div class="paper-date">2022-08-18</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model  </div>
                                <div> Xiulong Yang<sup>1</sup>, Sheng-Min Shih<sup>1</sup>, Yinlin Fu, Xiaoting Zhao, Shihao Ji </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.07791"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/sndnyang/Diffusion_ViT"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-16</div>
                            </div>
                            <div class="paper-date">2022-08-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling  </div>
                                <div> Ki-Ung Song </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.07131"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/KiUngSong/RSB"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-15</div>
                            </div>
                            <div class="paper-date">2022-08-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning  </div>
                                <div> Ting Chen, Ruixiang Zhang, Geoffrey Hinton </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.04202"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-08</div>
                            </div>
                            <div class="paper-date">2022-08-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Pyramidal Denoising Diffusion Probabilistic Models  </div>
                                <div> Dohoon Ryu, Jong Chul Ye </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2208.01864"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-08-03</div>
                            </div>
                            <div class="paper-date">2022-08-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis  </div>
                                <div> Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye </div>
                                <div>
                                        arxiv 2022.

                                        <a href="https://arxiv.org/abs/2207.11192"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/sangyun884/blur-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-07-16</div>
                            </div>
                            <div class="paper-date">2022-07-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improving Diffusion Model Efficiency Through Patching  </div>
                                <div> Troy Luhman, Eric Luhman </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2207.04316"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/ericl122333/PatchDiffusion-Pytorch"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-07-09</div>
                            </div>
                            <div class="paper-date">2022-07-09</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling  </div>
                                <div> Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng </div>
                                <div>
                                        ECCV 2022.

                                        <a href="https://arxiv.org/abs/2207.02196"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-07-05</div>
                            </div>
                            <div class="paper-date">2022-07-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations  </div>
                                <div> Jinsung Jeon, Noseong Park </div>
                                <div>
                                        arxiv 2022.

                                        <a href="https://arxiv.org/abs/2206.14464"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-29</div>
                            </div>
                            <div class="paper-date">2022-06-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation  </div>
                                <div> Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.11474"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-23</div>
                            </div>
                            <div class="paper-date">2022-06-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generative Modelling With Inverse Heat Dissipation  </div>
                                <div> Severi Rissanen, Markus Heinonen, Arno Solin </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.13397"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://aaltoml.github.io/generative-inverse-heat-dissipation/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-21</div>
                            </div>
                            <div class="paper-date">2022-06-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Lossy Compression with Gaussian Diffusion  </div>
                                <div> Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.08889"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-17</div>
                            </div>
                            <div class="paper-date">2022-06-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> A Flexible Diffusion Model  </div>
                                <div> Weitao Du, Tao Yang, He Zhang, Yuanqi Du </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.10365"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-17</div>
                            </div>
                            <div class="paper-date">2022-06-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion models as plug-and-play priors  </div>
                                <div> Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2206.09012"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/alexgraikos/diffusion_priors"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-17</div>
                            </div>
                            <div class="paper-date">2022-06-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching  </div>
                                <div> Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu </div>
                                <div>
                                        ICML 2022.

                                        <a href="https://arxiv.org/abs/2206.08265"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/LuChengTHU/mle_score_ode"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-16</div>
                            </div>
                            <div class="paper-date">2022-06-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Models for Video Prediction and Infilling  </div>
                                <div> Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.07696"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-15</div>
                            </div>
                            <div class="paper-date">2022-06-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models  </div>
                                <div> Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang </div>
                                <div>
                                        ICML 2022.

                                        <a href="https://arxiv.org/abs/2206.07309"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/baofff/Extended-Analytic-DPM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-15</div>
                            </div>
                            <div class="paper-date">2022-06-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation  </div>
                                <div> Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.07771"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/L-YeZhu/CDCD"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-15</div>
                            </div>
                            <div class="paper-date">2022-06-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> gDDIM: Generalized denoising diffusion implicit models  </div>
                                <div> Qinsheng Zhang, Molei Tao, Yongxin Chen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.05564"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/qsh-zh/gDDIM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-11</div>
                            </div>
                            <div class="paper-date">2022-06-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models  </div>
                                <div> Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.05039"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-10</div>
                            </div>
                            <div class="paper-date">2022-06-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> How Much is Enough? A Study on Diffusion Times in Score-based Generative Models  </div>
                                <div> Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.05173"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-10</div>
                            </div>
                            <div class="paper-date">2022-06-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Score-based Generative Models for High-Resolution Image Synthesis  </div>
                                <div> Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.04029"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-08</div>
                            </div>
                            <div class="paper-date">2022-06-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion-GAN: Training GANs with Diffusion  </div>
                                <div> Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2206.02262"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-05</div>
                            </div>
                            <div class="paper-date">2022-06-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps  </div>
                                <div> Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu </div>
                                <div>
                                        NeurrIPS 2022.

                                        <a href="https://arxiv.org/abs/2206.00927"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/LuChengTHU/dpm-solver"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-02</div>
                            </div>
                            <div class="paper-date">2022-06-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Elucidating the Design Space of Diffusion-Based Generative Models  </div>
                                <div> Tero Karras, Miika Aittala, Timo Aila, Samuli Laine </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2206.00364"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-06-01</div>
                            </div>
                            <div class="paper-date">2022-06-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models  </div>
                                <div> Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2206.00070"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-31</div>
                            </div>
                            <div class="paper-date">2022-05-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> A Continuous Time Framework for Discrete Denoising Models  </div>
                                <div> Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2205.14987"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-30</div>
                            </div>
                            <div class="paper-date">2022-05-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Few-Shot Diffusion Models  </div>
                                <div> Giorgio Giannone, Didrik Nielsen, Ole Winther </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2205.15463"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-30</div>
                            </div>
                            <div class="paper-date">2022-05-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Maximum Likelihood Training of Implicit Nonlinear Diffusion Models  </div>
                                <div> Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2205.13699"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-27</div>
                            </div>
                            <div class="paper-date">2022-05-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Accelerating Diffusion Models via Early Stop of the Diffusion Process  </div>
                                <div> Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai </div>
                                <div>
                                        ICML 2022.

                                        <a href="https://arxiv.org/abs/2205.12524"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-25</div>
                            </div>
                            <div class="paper-date">2022-05-25</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Flexible Diffusion Modeling of Long Videos  </div>
                                <div> William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2205.11495"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/plai-group/flexible-video-diffusion-modeling"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-23</div>
                            </div>
                            <div class="paper-date">2022-05-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation  </div>
                                <div> Vikram Voleti<sup>1</sup>, Alexia Jolicoeur-Martineau<sup>1</sup>, Christopher Pal </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2205.09853"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/voletiv/mcvd-pytorch"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-19</div>
                            </div>
                            <div class="paper-date">2022-05-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models  </div>
                                <div> Vedant Singh<sup>1</sup>, Surgan Jandial<sup>1</sup>, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian </div>
                                <div>
                                        CVPR Workshop 2022.

                                        <a href="https://arxiv.org/abs/2205.03859"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-08</div>
                            </div>
                            <div class="paper-date">2022-05-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Subspace Diffusion Generative Models  </div>
                                <div> Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2205.01490"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/bjing2016/subspace-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-05-03</div>
                            </div>
                            <div class="paper-date">2022-05-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Fast Sampling of Diffusion Models with Exponential Integrator  </div>
                                <div> Qinsheng Zhang, Yongxin Chen </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2204.13902"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-04-29</div>
                            </div>
                            <div class="paper-date">2022-04-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Retrieval-Augmented Diffusion Models  </div>
                                <div> Andreas Blattmann<sup>1</sup>, Robin Rombach<sup>1</sup>, Kaan Oktay, Björn Ommer </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2204.11824"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-04-25</div>
                            </div>
                            <div class="paper-date">2022-04-25</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Video Diffusion Models  </div>
                                <div> Jonathan Ho<sup>1</sup>, Tim Salimans<sup>1</sup>, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet </div>
                                <div>
                                        NeurIPS 2022.

                                        <a href="https://arxiv.org/abs/2204.03458"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-04-07</div>
                            </div>
                            <div class="paper-date">2022-04-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Perception Prioritized Training of Diffusion Models  </div>
                                <div> Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon </div>
                                <div>
                                        CVPR 2022.

                                        <a href="https://arxiv.org/abs/2204.00227"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/jychoi118/P2-weighting"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-04-01</div>
                            </div>
                            <div class="paper-date">2022-04-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generating High Fidelity Data from Low-density Regions using Diffusion Models  </div>
                                <div> Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2203.17260"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-31</div>
                            </div>
                            <div class="paper-date">2022-03-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Models for Counterfactual Explanations  </div>
                                <div> Guillaume Jeanneret, Loïc Simon, Frédéric Jurie </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2203.15636"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-29</div>
                            </div>
                            <div class="paper-date">2022-03-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Denoising Likelihood Score Matching for Conditional Score-based Data Generation  </div>
                                <div> Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2203.14206"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-27</div>
                            </div>
                            <div class="paper-date">2022-03-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Probabilistic Modeling for Video Generation  </div>
                                <div> Ruihan Yang, Prakhar Srivastava, Stephan Mandt </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2203.09481"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/buggyyang/rvd"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-16</div>
                            </div>
                            <div class="paper-date">2022-03-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Dynamic Dual-Output Diffusion Models  </div>
                                <div> Yaniv Benny, Lior Wolf </div>
                                <div>
                                        CVPR 2022.

                                        <a href="https://arxiv.org/abs/2203.04304"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-03-08</div>
                            </div>
                            <div class="paper-date">2022-03-08</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Conditional Simulation Using Diffusion Schrödinger Bridges  </div>
                                <div> Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2202.13460"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-27</div>
                            </div>
                            <div class="paper-date">2022-02-27</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Causal Models for Counterfactual Estimation  </div>
                                <div> Pedro Sanchez, Sotirios A. Tsaftaris </div>
                                <div>
                                        PMLR 2022.

                                        <a href="https://arxiv.org/abs/2202.10166"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-21</div>
                            </div>
                            <div class="paper-date">2022-02-21</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Pseudo Numerical Methods for Diffusion Models on Manifolds  </div>
                                <div> Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2202.09778"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/luping-liu/PNDM"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-20</div>
                            </div>
                            <div class="paper-date">2022-02-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Truncated Diffusion Probabilistic Models  </div>
                                <div> Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2202.09671"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-19</div>
                            </div>
                            <div class="paper-date">2022-02-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Understanding DDPM Latent Codes Through Optimal Transport  </div>
                                <div> Valentin Khrulkov, Ivan Oseledets </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2202.07477"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-14</div>
                            </div>
                            <div class="paper-date">2022-02-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality  </div>
                                <div> Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2202.05830"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-11</div>
                            </div>
                            <div class="paper-date">2022-02-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion bridges vector quantized Variational AutoEncoders  </div>
                                <div> Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines </div>
                                <div>
                                        ICML 2022.

                                        <a href="https://arxiv.org/abs/2202.04895"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-10</div>
                            </div>
                            <div class="paper-date">2022-02-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Progressive Distillation for Fast Sampling of Diffusion Models  </div>
                                <div> Tim Salimans, Jonathan Ho </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2202.00512"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-02-01</div>
                            </div>
                            <div class="paper-date">2022-02-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models  </div>
                                <div> Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2201.06503"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-01-17</div>
                            </div>
                            <div class="paper-date">2022-01-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents  </div>
                                <div> Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar </div>
                                <div>
                                        arXiv 2022.

                                        <a href="https://arxiv.org/abs/2201.00308"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/kpandey008/DiffuseVAE"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2022-01-02</div>
                            </div>
                            <div class="paper-date">2022-01-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Autoencoders: Toward a Meaningful and Decodable Representation  </div>
                                <div> Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn </div>
                                <div>
                                        CVPR 2022.

                                        <a href="https://arxiv.org/abs/2111.15640"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://diff-ae.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/phizaz/diffae"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-30</div>
                            </div>
                            <div class="paper-date">2021-12-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives  </div>
                                <div> Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.13339"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-26</div>
                            </div>
                            <div class="paper-date">2021-12-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> High-Resolution Image Synthesis with Latent Diffusion Models  </div>
                                <div> Robin Rombach<sup>1</sup>, Andreas Blattmann<sup>1</sup>, Dominik Lorenz, Patrick Esser, Björn Ommer </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.10752"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/CompVis/latent-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-20</div>
                            </div>
                            <div class="paper-date">2021-12-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models  </div>
                                <div> Alex Nichol<sup>1</sup>, Prafulla Dhariwal<sup>1</sup>, Aditya Ramesh<sup>1</sup>, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen </div>
                                <div>
                                        ICML 2021.

                                        <a href="https://arxiv.org/abs/2112.10741"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/openai/glide-text2im"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-20</div>
                            </div>
                            <div class="paper-date">2021-12-20</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Heavy-tailed denoising score matching  </div>
                                <div> Jacob Deasy, Nikola Simidjievski, Pietro Liò </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.09788"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-17</div>
                            </div>
                            <div class="paper-date">2021-12-17</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> High Fidelity Visualization of What Your Self-Supervised Representation Knows About  </div>
                                <div> Florian Bordes, Randall Balestriero, Pascal Vincent </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.09164"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-16</div>
                            </div>
                            <div class="paper-date">2021-12-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Tackling the Generative Learning Trilemma with Denoising Diffusion GANs  </div>
                                <div> Zhisheng Xiao, Karsten Kreis, Arash Vahdat </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.07804"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://nvlabs.github.io/denoising-diffusion-gan"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-15</div>
                            </div>
                            <div class="paper-date">2021-12-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-Based Generative Modeling with Critically-Damped Langevin Diffusion  </div>
                                <div> Tim Dockhorn, Arash Vahdat, Karsten Kreis </div>
                                <div>
                                        ICLR 2022.

                                        <a href="https://arxiv.org/abs/2112.07068"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://nv-tlabs.github.io/CLD-SGM/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-14</div>
                            </div>
                            <div class="paper-date">2021-12-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> More Control for Free! Image Synthesis with Semantic Diffusion Guidance  </div>
                                <div> Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.05744"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-10</div>
                            </div>
                            <div class="paper-date">2021-12-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation  </div>
                                <div> Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P.N.Suganthan </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2112.01799"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-12-03</div>
                            </div>
                            <div class="paper-date">2021-12-03</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Conditional Image Generation with Score-Based Diffusion Models  </div>
                                <div> Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2111.13606"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-11-26</div>
                            </div>
                            <div class="paper-date">2021-11-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes  </div>
                                <div> Sam Bond-Taylor<sup>1</sup>, Peter Hessey<sup>1</sup>, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2111.12701"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/samb-t/unleashing-transformers"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-11-24</div>
                            </div>
                            <div class="paper-date">2021-11-24</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Normalizing Flow  </div>
                                <div> Qinsheng Zhang, Yongxin Chen </div>
                                <div>
                                        NeurIPS 2021.

                                        <a href="https://arxiv.org/abs/2110.07579"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/qsh-zh/DiffFlow"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-10-14</div>
                            </div>
                            <div class="paper-date">2021-10-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Denoising Diffusion Gamma Models  </div>
                                <div> Eliya Nachmani<sup>1</sup>, Robin San Roman<sup>1</sup>, Lior Wolf </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2110.05948"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-10-10</div>
                            </div>
                            <div class="paper-date">2021-10-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-based Generative Neural Networks for Large-Scale Optimal Transport  </div>
                                <div> Max Daniels, Tyler Maunu, Paul Hand </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2110.03237"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-10-07</div>
                            </div>
                            <div class="paper-date">2021-10-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-Based Generative Classifiers  </div>
                                <div> Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2110.00473"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-10-01</div>
                            </div>
                            <div class="paper-date">2021-10-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Classifier-Free Diffusion Guidance  </div>
                                <div> Jonathan Ho, Tim Salimans </div>
                                <div>
                                        NeurIPS Workshop 2021.

                                        <a href="https://arxiv.org/abs/2207.12598"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-09-28</div>
                            </div>
                            <div class="paper-date">2021-09-28</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Bilateral Denoising Diffusion Models  </div>
                                <div> Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2108.11514"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://bilateral-denoising-diffusion-model.github.io"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-08-26</div>
                            </div>
                            <div class="paper-date">2021-08-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis  </div>
                                <div> Patrick Esser<sup>1</sup>, Robin Rombach<sup>1</sup>, Andreas Blattmann<sup>1</sup>, Björn Ommer </div>
                                <div>
                                        NeurIPS 2021.

                                        <a href="https://arxiv.org/abs/2108.08827"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://compvis.github.io/imagebart/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-08-19</div>
                            </div>
                            <div class="paper-date">2021-08-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models  </div>
                                <div> Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon </div>
                                <div>
                                        ICCV 2021 (Oral).

                                        <a href="https://arxiv.org/abs/2108.02938"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/jychoi118/ilvr_adm"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-08-06</div>
                            </div>
                            <div class="paper-date">2021-08-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> SDEdit: Image Synthesis and Editing with Stochastic Differential Equations  </div>
                                <div> Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon </div>
                                <div>
                                        ICLR  2021.

                                        <a href="https://arxiv.org/abs/2108.01073"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://sde-image-editing.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/ermongroup/SDEdit"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-08-02</div>
                            </div>
                            <div class="paper-date">2021-08-02</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Structured Denoising Diffusion Models in Discrete State-Spaces  </div>
                                <div> Jacob Austin<sup>1</sup>, Daniel D. Johnson<sup>1</sup>, Jonathan Ho, Daniel Tarlow, Rianne van den Berg </div>
                                <div>
                                        NeurIPS 2021.

                                        <a href="https://arxiv.org/abs/2107.03006"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-07-07</div>
                            </div>
                            <div class="paper-date">2021-07-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Variational Diffusion Models  </div>
                                <div> Diederik P. Kingma<sup>1</sup>, Tim Salimans<sup>1</sup>, Ben Poole, Jonathan Ho </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2107.00630"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/google-research/vdm"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-07-01</div>
                            </div>
                            <div class="paper-date">2021-07-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Priors In Variational Autoencoders  </div>
                                <div> Antoine Wehenkel<sup>1</sup>, Gilles Louppe<sup>1</sup> </div>
                                <div>
                                        ICML Workshop 2021.

                                        <a href="https://arxiv.org/abs/2106.15671"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-29</div>
                            </div>
                            <div class="paper-date">2021-06-29</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Deep Generative Learning via Schrödinger Bridge  </div>
                                <div> Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang </div>
                                <div>
                                        ICML 2021.

                                        <a href="https://arxiv.org/abs/2106.10410"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-19</div>
                            </div>
                            <div class="paper-date">2021-06-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Non Gaussian Denoising Diffusion Models  </div>
                                <div> Eliya Nachmani<sup>1</sup>, Robin San Roman<sup>1</sup>, Lior Wolf </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2106.07582"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://enk100.github.io/Non-Gaussian-Denoising-Diffusion-Models/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-14</div>
                            </div>
                            <div class="paper-date">2021-06-14</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> D2C: Diffusion-Denoising Models for Few-shot Conditional Generation  </div>
                                <div> Abhishek Sinha<sup>1</sup>, Jiaming Song<sup>1</sup>, Chenlin Meng, Stefano Ermon </div>
                                <div>
                                        NeurIPS 2021.

                                        <a href="https://arxiv.org/abs/2106.06819"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://d2c-model.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/d2c-model/d2c-model.github.io"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-12</div>
                            </div>
                            <div class="paper-date">2021-06-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation  </div>
                                <div> Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon </div>
                                <div>
                                        ICML 2022.

                                        <a href="https://arxiv.org/abs/2106.05527"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-10</div>
                            </div>
                            <div class="paper-date">2021-06-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-based Generative Modeling in Latent Space  </div>
                                <div> Arash Vahdat<sup>1</sup>, Karsten Kreis<sup>1</sup>, Jan Kautz </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2106.05931"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-10</div>
                            </div>
                            <div class="paper-date">2021-06-10</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Learning to Efficiently Sample from Diffusion Probabilistic Models  </div>
                                <div> Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2106.03802"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-07</div>
                            </div>
                            <div class="paper-date">2021-06-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> A Variational Perspective on Diffusion-Based Generative Models and Score Matching  </div>
                                <div> Chin-Wei Huang, Jae Hyun Lim, Aaron Courville </div>
                                <div>
                                        NeurIPS 2021.

                                        <a href="https://arxiv.org/abs/2106.02808"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/CW-Huang/sdeflow-light"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-05</div>
                            </div>
                            <div class="paper-date">2021-06-05</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling  </div>
                                <div> Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2106.01357"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://jtt94.github.io/papers/schrodinger_bridge"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/JTT94/diffusion_schrodinger_bridge"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-06-01</div>
                            </div>
                            <div class="paper-date">2021-06-01</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> On Fast Sampling of Diffusion Probabilistic Models  </div>
                                <div> Zhifeng Kong, Wei Ping </div>
                                <div>
                                        ICML Workshop 2021.

                                        <a href="https://arxiv.org/abs/2106.00132"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/FengNiMa/FastDPM_pytorch"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-05-31</div>
                            </div>
                            <div class="paper-date">2021-05-31</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Cascaded Diffusion Models for High Fidelity Image Generation  </div>
                                <div> Jonathan Ho<sup>1</sup>, Chitwan Saharia<sup>1</sup>, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans </div>
                                <div>
                                        JMLR 2021.

                                        <a href="https://arxiv.org/abs/2106.15282"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://cascaded-diffusion.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-05-30</div>
                            </div>
                            <div class="paper-date">2021-05-30</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Gotta Go Fast When Generating Data with Score-Based Models  </div>
                                <div> Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2105.14080"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/AlexiaJM/score_sde_fast_sampling"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-05-28</div>
                            </div>
                            <div class="paper-date">2021-05-28</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Diffusion Models Beat GANs on Image Synthesis  </div>
                                <div> Prafulla Dhariwal<sup>1</sup>, Alex Nichol<sup>1</sup> </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2105.05233"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/openai/guided-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-05-11</div>
                            </div>
                            <div class="paper-date">2021-05-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Image Super-Resolution via Iterative Refinement  </div>
                                <div> Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2104.07636"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://iterative-refinement.github.io/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-04-15</div>
                            </div>
                            <div class="paper-date">2021-04-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Noise Estimation for Generative Diffusion Models  </div>
                                <div> Robin San-Roman<sup>1</sup>, Eliya Nachmani<sup>1</sup>, Lior Wolf </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2104.02600"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-04-06</div>
                            </div>
                            <div class="paper-date">2021-04-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improved Denoising Diffusion Probabilistic Models  </div>
                                <div> Alex Nichol<sup>1</sup>, Prafulla Dhariwal<sup>1</sup> </div>
                                <div>
                                        ICLR 2021.

                                        <a href="https://arxiv.org/abs/2102.09672"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/openai/improved-diffusion"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-02-18</div>
                            </div>
                            <div class="paper-date">2021-02-18</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Maximum Likelihood Training of Score-Based Diffusion Models  </div>
                                <div> Yang Song<sup>1</sup>, Conor Durkan<sup>1</sup>, Iain Murray, Stefano Ermon </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2101.09258"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-01-22</div>
                            </div>
                            <div class="paper-date">2021-01-22</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed  </div>
                                <div> Eric Luhman<sup>1</sup>, Troy Luhman<sup>1</sup> </div>
                                <div>
                                        arXiv 2021.

                                        <a href="https://arxiv.org/abs/2101.02388"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/tcl9876/Denoising_Student"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2021-01-07</div>
                            </div>
                            <div class="paper-date">2021-01-07</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Learning Energy-Based Models by Diffusion Recovery Likelihood  </div>
                                <div> Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma </div>
                                <div>
                                        ICLR 2021.

                                        <a href="https://arxiv.org/abs/2012.08125"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/ruiqigao/recovery_likelihood"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-12-15</div>
                            </div>
                            <div class="paper-date">2020-12-15</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Score-Based Generative Modeling through Stochastic Differential Equations  </div>
                                <div> Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole </div>
                                <div>
                                        ICLR 2021 (Oral).

                                        <a href="https://arxiv.org/abs/2011.13456"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/yang-song/score_sde"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-11-26</div>
                            </div>
                            <div class="paper-date">2020-11-26</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models  </div>
                                <div> Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang </div>
                                <div>
                                        ICML 2021.

                                        <a href="https://arxiv.org/abs/2010.08258"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-10-16</div>
                            </div>
                            <div class="paper-date">2020-10-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Denoising Diffusion Implicit Models*  </div>
                                <div> Jiaming Song, Chenlin Meng, Stefano Ermon </div>
                                <div>
                                        ICLR 2021.

                                        <a href="https://arxiv.org/abs/2010.02502"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/ermongroup/ddim"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-10-06</div>
                            </div>
                            <div class="paper-date">2020-10-06</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Adversarial score matching and improved sampling for image generation  </div>
                                <div> Alexia Jolicoeur-Martineau<sup>1</sup>, Rémi Piché-Taillefer<sup>1</sup>, Rémi Tachet des Combes, Ioannis Mitliagkas </div>
                                <div>
                                        ICLR 2021.

                                        <a href="https://arxiv.org/abs/2009.05475"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/AlexiaJM/AdversarialConsistentScoreMatching"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-09-11</div>
                            </div>
                            <div class="paper-date">2020-09-11</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Denoising Diffusion Probabilistic Models  </div>
                                <div> Jonathan Ho, Ajay Jain, Pieter Abbeel </div>
                                <div>
                                        NeurIPS 2020.

                                        <a href="https://arxiv.org/abs/2006.11239"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/hojonathanho/diffusion"
                                           class="link-primary">Github</a> &nbsp
                                        <a href="https://github.com/pesser/pytorch_diffusion"
                                           class="link-primary">Github2</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-06-19</div>
                            </div>
                            <div class="paper-date">2020-06-19</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Improved Techniques for Training Score-Based Generative Models  </div>
                                <div> Yang Song, Stefano Ermon </div>
                                <div>
                                        NeurIPS 2020.

                                        <a href="https://arxiv.org/abs/2006.09011"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/ermongroup/ncsnv2"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2020-06-16</div>
                            </div>
                            <div class="paper-date">2020-06-16</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Generative Modeling by Estimating Gradients of the Data Distribution  </div>
                                <div> Yang Song, Stefano Ermon </div>
                                <div>
                                        NeurIPS 2019.

                                        <a href="https://arxiv.org/abs/1907.05600"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://yang-song.github.io/blog/2021/score/"
                                           class="link-primary">Project</a> &nbsp
                                        <a href="https://github.com/ermongroup/ncsn"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2019-07-12</div>
                            </div>
                            <div class="paper-date">2019-07-12</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit  </div>
                                <div> Belinda Tzen, Maxim Raginsky </div>
                                <div>
                                        arXiv 2019.

                                        <a href="https://arxiv.org/abs/1905.09883"
                                           class="link-primary">Paper</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2019-05-23</div>
                            </div>
                            <div class="paper-date">2019-05-23</div>
                        </li>
                        <li class="list-group-item d-flex justify-content-between align-items-start list-item-flex">
                            <div class="ms-2 me-auto paper-main">
                                <div class="fw-bold"> Deep Unsupervised Learning using Nonequilibrium Thermodynamics  </div>
                                <div> Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli </div>
                                <div>
                                        ICML 2015.

                                        <a href="https://arxiv.org/abs/1503.03585"
                                           class="link-primary">Paper</a> &nbsp
                                        <a href="https://github.com/Sohl-Dickstein/Diffusion-Probabilistic-Models"
                                           class="link-primary">Github</a> &nbsp
                                </div>
                                <div class="paper-date-inner">2015-03-02</div>
                            </div>
                            <div class="paper-date">2015-03-02</div>
                        </li>
                </ol>
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